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ORIGINAL RESEARCH article

Front. Neurol.
Sec. Neurological Biomarkers
Volume 15 - 2024 | doi: 10.3389/fneur.2024.1428625

Logistic regression model for predicting risk factors and contribution of cerebral microbleeds using renal function indicators

Provisionally accepted
Zheng Pan Zheng Pan 1Xuhui Liu Xuhui Liu 2*Yilan Li Yilan Li 3Xiaoyong Huang Xiaoyong Huang 4Xiner Zhang Xiner Zhang 5Feng Xiong Feng Xiong 1
  • 1 Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai, China
  • 2 Lanzhou University Second Hospital, Lanzhou, China
  • 3 Tianjin Fourth Central Hospital, Tianjin, China
  • 4 Lishui City People's Hospital, Lishui, China
  • 5 Affiliated Tumor Hospital, Xinjiang Medical University, Urumqi, Xinjiang, China

The final, formatted version of the article will be published soon.

    The brain and kidneys share similar low-resistance microvascular structures, receiving blood at consistently high flow rates and thus, are vulnerable to blood pressure fluctuations. This study investigates the causative factors of cerebral microbleeds (CMBs), aiming to quantify the contribution of each risk factor by constructing a multivariate model via stepwise regression.Methods: A total of 164 hospitalized patients were enrolled from January 2022 to March 2023 in this study, employing magnetic susceptibility-weighted imaging (SWI) to assess the presence of CMBs. The presence of CMBs in patients was determined by SWI, and history, renal function related to CMBs were analyzed.Results: Out of 164 participants in the safety analysis, 36 (21.96%) exhibited CMBs and 128 (78.04%) did not exhibit CMBs, and the median age of the patients was 66 years (range: 49 -86 years). Multivariate logistic regression identified hypertension (OR = 13.95% ,95% CI: 4.52%, 50.07%), blood urea nitrogen (BUN) (OR = 1.57, 95% CI: 1.06-2.40), cystatin C (CyC) (OR = 4.90, 95% CI: 1.20-22.16), and Urinary β-2 microglobulin, (OR = 2.11, 95% CI: 1.45-3.49) as significant risk factors for CMBs. The marginal R-square (R 2 M) was 0.25. Among all determinants, hypertension (47.81%) had the highest weight, followed by UN (11.42%). Quasi-curves plotted using the Bootstrap method (999 times) showed good agreement between the predictive model and actual observations. Conclusion: Hypertension, BUN, Urinary β-2 microglobulin, CyC were risk factors for CMBs morbidity, and controlling the above indicators within a reasonable range will help to reduce the incidence of CMBs.

    Keywords: cerebral microbleeds, Renal function indicators, Hypertension, Risk factors, contribution

    Received: 06 May 2024; Accepted: 27 Aug 2024.

    Copyright: © 2024 Pan, Liu, Li, Huang, Zhang and Xiong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Xuhui Liu, Lanzhou University Second Hospital, Lanzhou, China

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